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Automated Student Attendance Management System Using Face Recognition
Current Issue
Volume 5, 2018
Issue 4 (July)
Pages: 31-37   |   Vol. 5, No. 4, July 2018   |   Follow on         
Paper in PDF Downloads: 33   Since Sep. 13, 2018 Views: 1014   Since Sep. 13, 2018
Authors
[1]
Ofualagba Godswill, Electrical and Electronics Engineering Department, Federal University of Petroleum Resources, Effurun, Nigeria.
[2]
Omijie Osas, Electrical and Electronics Engineering Department, Federal University of Petroleum Resources, Effurun, Nigeria.
[3]
Orobor Anderson, Information and Communication Technology Department, Federal University of Petroleum Resources, Effurun, Nigeria.
[4]
Ibhadode Oseikhuemen, Electrical and Electronics Engineering Department, Federal University of Petroleum Resources, Effurun, Nigeria.
[5]
Odiete Etse, Electrical and Electronics Engineering Department, Federal University of Petroleum Resources, Effurun, Nigeria.
Abstract
Attendance management system is a necessary tool for taking attendance in any environment where attendance is critical. However, most of the existing approach are time consuming, intrusive and it require manual work from the users. This research is aimed at developing a less intrusive, cost effective and more efficient automated student attendance management system using face recognition that leverages on cloud computing (CC) infrastructure called FACECUBE. FACECUBE takes attendance by using IP camera mounted in front of a classroom, to acquire images of the entire class. It detect the faces in the image and compares it with the enrolled faces in the database. On identification of a registered face on the acquired image collections, the attendance register is marked as present otherwise absent. The system is developed on Open Source image processing library hence, it is not vendor hardware nor software dependent.
Keywords
Student Attendance, Face Recognition, Face Detection, FACECUBE, Cloud Computing
Reference
[1]
Balcoh N. K Yousaf M. H, Ahmad W. and Baig M. I. (2012) Algorithm for Efficient Attendance Management: Face Recognition based approach. IJCSI International Journal of Computer Science Issues, 9 (4): 146-150.
[2]
FBI (2017) Face Recognition. Available at: https://.fbi.gov%2Ffile-repository%2Fabout-us-cjis-fingerprints_biometrics-biometric-center-of-excellences-face-recognition.pdf. Accessed 14 January 2017.
[3]
Sato A., Imaoka H., Suzuki T. and Hosoi T. (2005) Advances in Face Detection and Recognition Technologies. NEC Journal of Advance Technology, 2 (1): 28-34.
[4]
Kisku R. and Rana S. (2016) Multithread Face Recognition in Cloud. Available at: https://www.hindawi.com/journals/js/2016/2575904/.Accessed 14 January 2017.
[5]
Caldeira R. (2013) FaceID-Cloud: Face Recognition Leveraging Utility and Cloud Computing. Available at: https://fenix.tecnico.ulisboa.pt/downloadFile/395145529147/dissertacao.pdf. Accessed 28 May 2017.
[6]
Dhanalakshmi N., Kumar S. and Sai Y. (2017) Aadhaar Based Biometric Attendance System Using Wireless Fingerprint Terminals. Available at: https://ieeexplore.ieee.org/iel7/7974917/7976734/07976871.pdf. Accessed 6 August 2018.
[7]
Mohamed M. (2017) Class Attendance Management System Using NFC Mobile Devices. Journal Intelligent Automation & Soft Computing, 23 (2): 251-259.
[8]
Rahim A., Ismail N., Razak F., Zulkifli Z., Jamian H., Razi F., and Mohammad N. (2017) Automated Attendance Management and Alert System. Journal of Fundamental and Applied Sciences, 9 (65): 59-80.
[9]
Gaddam S. C. 251, Ramesh N. V. and Dhanekula H. (2016) Face Recognition Based Attendance Management System with Raspberry Pi 2 Using Eigen Faces Algorithm. ARPN Journal of Engineering and Applied Sciences, 11 (13): 8107-8112.
[10]
Muthu K. and VeeraA. (2013) Smart Application for AMS Using Face Recognition. Computer Science & Engineering: An International Journal (CSEIJ), 3 (5): 13-20.
[11]
Orobor A. and Orobor H. (2018) Cost-Saving and Internally Generated Revenue in Tertiary Educational Institutions: The Role of Cloud Computing. International Journal of Education and Information Technology, 3 (2): 7-16.
[12]
Vaquero L., Rodero-Merino M., Caceres J. andLindner M. (2008) A Break in the Clouds: Towards a Cloud Definition. ACM SIGCOMM Computer Communication Review, 39 (1): 50-55.
[13]
Mell P. and Grance T. (2009) The NIST Definition of Cloud Computing. Available at: http://www.nist.gov/itl/cloud/upload/cloud-def-v15.pdf. Accessed: 24 February 2017.
[14]
Turk M. and Pentland A. (1991) Eigenfaces for Face Detection/Recognition. Journal of Cognitive Neuroscience, 3 (1): 71-86.
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